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What is Predix Essentials?
The first step in adopting an edge-to-cloud IIoT solution is centered around monitoring and managing events. By implementing Predix Essentials, organizations can centralize their data, employ analytics, and visualize insights that lead to actionable results. This innovative solution seamlessly connects assets and integrates IT/OT data, allowing for effective condition monitoring, alert analysis, and incident resolution without the need for software development. Through the advantages offered by Predix Essentials, companies can significantly decrease downtime and lower maintenance costs, although this is just the beginning of what can be achieved. Built on the strong foundation of the Predix Platform, which provides a secure and scalable edge-to-cloud operating environment, Essentials includes an extensive range of robust features. These capabilities enable businesses to leverage distributed processing and advanced analytics while also facilitating the creation of bespoke applications that meet their unique requirements. Furthermore, this holistic strategy guarantees that organizations can adapt swiftly and effectively to the fast-paced changes in technology, ensuring their competitive edge in the market. By embracing such innovative tools, companies are well positioned to thrive in an increasingly complex industrial landscape.
What is HiveMQ?
HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.34/hour
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
GE Digital
Date Founded
2011
Company Location
United States
Company Website
www.ge.com/digital/iiot-platform/predix-essentials
Company Facts
Organization Name
HiveMQ
Date Founded
2012
Company Location
Germany
Company Website
www.hivemq.com
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling